We are hiring AI Engineers (4–6 YOE) to design and implement Agentic AI MVPs on AWS Tech Stack. The candidate would build production-grade orchestration, LLM agents, grounded retrieval, and integrations with analytics/UI systems.
Must-Have Skills
● Python (strong), writing modular, production-quality code with testing
● LLM / Generative AI engineering: prompt engineering, structured outputs (JSON), grounding, evaluation
● Agentic systems: orchestration patterns (planner/router, fan-out/fan-in, tool calling), state handling
● AWS hands-on with serverless patterns:
○ Lambda, API Gateway, Step Functions
○ S3, DynamoDB
○ CloudWatch (logs/metrics), IAM
● Amazon Bedrock experience (or equivalent LLM platform): model invocation, guardrails/safety patterns
● Data access from modern stores (preferably Redshift/Aurora) + basic SQL
● Designing robust workflows: retries, idempotency/correlation IDs, error handling, observability
Preferred Skills
● Bedrock Knowledge Bases + OpenSearch (RAG with citations, indexing strategies)
● Speech + NLP services: Transcribe / Comprehend (post-call automation scenarios)
● ML deployment (optional components): SageMaker training/inference, model registry
● Compliance / regulated-domain systems (Pharma/Healthcare): MLR checks, audit trails, traceability
● QuickSight integration (embedding, dashboards, actions, dataset refresh patterns)
● CI/CD exposure: CodePipeline/GitHub Actions, IaC (CDK/Terraform), multi-env deployments
● Performance optimization: caching, query tuning, prompt optimization, latency/cost trade-offs
Behavioral Skills
● Ownership mindset: Responsive and proactive with focus and commitment on delivery
● Strong communication: should be able to understand and explains architecture clearly
● Collaboration-first: works well with Data/UI/DevOps engineers
● Quality-focused: writes maintainable code, documents decisions, tests critical paths
● Comfort in ambiguity: can iterate quickly with feedback and evolving requirements
Job Types: Full-time, Permanent
Benefits:
- Flexible schedule
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Application Question(s):
- How many years of hands-on experience do you have with AWS AI services (Bedrock, SageMaker, Lambda, Step Functions)
Experience:
- AWS AI : 4 years (Required)
Work Location: Remote
